Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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Career assistant that combines intelligent job searching, resume matching, and cover letter generation using an agent-based architecture.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
AI platform for computer vision and NLP.
Organizes AI tools and resources so people can browse and compare relevant services.
CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.
Introducing GetWhys: AI trained on firsthand experiences.
Helps find, analyze or synthesize information for research and knowledge discovery.
A8e70ca5a9942e399a04543b16dff92c65bd6a94b4a8fe97253e51bfff480743.
Connect your agent to SaaS apps in minutes. Secure access to 20,000+ tools via MCP or direct APIs to automate real work.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Creates or edits images with generative models and visual controls.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
Cosmos helps video companies find the right past work faster, so sales teams can use finished projects to win more deals.
Framework for orchestrating teams of specialized AI agents. Role-based agents collaborate on complex tasks. $20M+ in VC funding. Apache-2.0.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.